中国电机工程学报2017，Vol.37Issue(5)：1552-1559,8.DOI:10.13334/j.0258-8013.pcsee.160084
雷电冲击下换流变压器绕组故障模拟与诊断方法
Fault Simulations and Diagnosis Methods of Converter Transformer Windings Under Lightning Impulse Voltages
摘要
Abstract
The existing fault diagnosis methods of converter transformer windings under lightning impulse voltages have low sensitivity.It is difficult to diagnose fault types.The experimental data of the converter transformer under fault conditions are insufficient.It is difficult to study on the fault characteristics deeply.In view of the above problems,the reduced-scale model with a typical structure of converter transformer windings was designed and made with the scale of about 1/5.The lightning impulse tests were carried out under different fault conditions.The test data of different fault conditions were analyzed.The correlation coefficients for the transfer function of the fault condition and normal condition was calculated in different frequency bands and chosen as characteristic parameters.A fault diagnosis method was proposed based on the learning vector quantization network.The network was trained with characteristic parameters.Then the testing samples were used for testing.The results show that the correlation coefficients in specified frequency bands can reflect fault characteristics.The diagnostic accuracy of the testing samples is 98.2％.It verifies the effectiveness of the fault diagnosis method.关键词
换流变压器/缩比模型/故障模拟/雷电冲击/故障诊断/学习矢量量化网络Key words
converter transformer/reduced-scale model/fault simulation/lightning impulse/fault diagnosis/learning vector quantization network分类
信息技术与安全科学引用本文复制引用
普子恒,张宇娇,方春华,汪涛,谢齐家,贺家慧,李敏..雷电冲击下换流变压器绕组故障模拟与诊断方法[J].中国电机工程学报,2017,37(5):1552-1559,8.基金项目
国家自然科学基金面上项目(51577106) （51577106）
国家电网公司重大科技项目(52153213020Z).Project Supported by National Natural Science Foundation of China (51577106) （52153213020Z）
Project Supported by the Science-technology Program of State Grid Corporation of China (52153213020Z). （52153213020Z）
